Selective Parallel Disassembly Sequence Planning Method for Remanufacturing
Tian Yongting1), Zhang Xiufen1)*, Xu Jinfang2), and Li Zhiguo1)
1) (The College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051) 2) (The College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004)
Selective disassembly parallel is a key step of remanufacturing. To improve remanufacturing disassembly efficiency, a selective parallel disassembly sequence planning method is proposed based on genetic algorithm. According to the product topology and disassembly precedence relation, a product’s disassembly hybrid graph model (DHGM) is constructed. Furthermore, the DHGM is expressed as the correlation matrix, the adjacency matrix and constraint matrix. The initial population of the objective component is constructed based on an object-driven deduction method presented in this paper. In order to improve the convergence speed of the algorithm, the unreasonable disassembly sequences are eliminated via the correlation matrix. The chromosome evolution rules, such as selection, crossover, and mutation operator are improved to obtain the (approximate) optimal selective parallel disassembly sequences of the objective component. Finally, a case study validates the method proposed in the paper.